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Channel

单开楠楠在广州

@Nannanzaigz

On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry

270subscribers

+254 since we began measuring on 25 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003763943174
TypeChannel
Username@Nannanzaigz
Created25 August 2026measured — dated from the channel’s first post
First recorded25 August 2026
Last confirmed live19 September 2026
Measurements held5
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/Nannanzaigz

Topic

Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 23 September 2026 and assigned it the closest of 31 fixed categories, at 72% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

1681641625 August 2026 — 16 subscribers26 August 2026 — 174 subscribers2 September 2026 — 816 subscribers11 September 2026 — 388 subscribers19 September 2026 — 270 subscribers27025 August 202619 September 2026
5 measurements spanning 25 days, net +254. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
19 Sept 2026, 15:18270-118
11 Sept 2026, 03:01388-428
2 Sept 2026, 11:57816+642
26 Aug 2026, 18:44174+158
25 Aug 2026, 19:3016first reading

Engagement

9 posts held, back to 25 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
38.5%
avg views ÷ 270 subscribers
Avg views / post
104
7 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
9
of 9 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 25 August 2026
Posts held9 (25 August 202625 August 2026)
Views total728
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken25 Aug 2026, 19:30 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Video runtime
11s
Average length
6s

Measured directly from 2 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Recent posts

25 Aug 2026, 12:15 UTC86 viewsread 25 August 2026
Photo

本群独家合作伙伴 【糖心app】台湾知名视频网站(麻豆传媒同级) 【51品茶(51茶馆)】国内最大修车平台 全广州活动最多,真人最多,查找老师功能最全,狼友最活跃的群! https://telegram.me/gzcg9

25 Aug 2026, 11:44 UTC101 viewsread 25 August 2026

今天刚刚到,自己单开,闺蜜教我玩✈️上来试一试。谢谢哥哥们关注。

25 Aug 2026, 11:22 UTC129 viewsread 25 August 2026

广州学院派: https://telegram.me/gzscp 【 楠楠 】已通过真人审核视频验证入驻广州学院派,可放心出击√ ↓↓↓点击加入唯一无内鬼通道↓↓↓ 👉榜单 @GZSCP 👈👉 群聊 @GZSCL 👈

25 Aug 2026, 10:15 UTC129 viewsread 25 August 2026

📢 广州繁花出击群 优质老师免费上榜 ➡️群组:https://t.me/+aZ7zOObPAIExM2Qx ➡️榜单:https://t.me/GZFHZY 🤨 🤨 🤨 千元现金不定期大放送 💸💸💸 现金红包 半价劵 等你来拿 🌸只收录真人真照优质老师 🔤杜绝网红假照 狼友可放心出击!🤯😥☹️😭

25 Aug 2026, 07:15 UTC117 viewsread 25 August 2026
Photo

艺名:楠楠 新人 身高:160 体重:78 🐻:c 年纪:08 🔥1600p 🔥3200pp 简介:学生刚下海纯天然0整容精致脸 A4腰 极品筷子 斤无一丝赘肉 漫画身材 身材无敌好~喜欢温柔有礼貌的人💗双粉 口腔没异味可舌吻69 ✈️:@nannanzaisz6 双向:@Nannanszbot 频道:https://t.me/Nannanzaigz

Showing the 9 most recent of 9 posts we hold for @Nannanzaigz. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Mentions

Named by 3 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 19 September 2026 — this entry's latest reading, not the date you are reading this.

“单开楠楠在广州” (@Nannanzaigz), 270 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/Nannanzaigz.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.